Every year, millions of people around the world are troubled by Alzheimer's disease (Alzheimer's disease). According to the Alzheimer's Association, Alzheimer's disease is the sixth most common cause of death in the United States, with more deaths than breast and prostate cancer combined. The cost of treatment is still very expensive, and if it can be tested by early inspection, it can save almost $790 million in medical expenses. Unlearn. AI is a startup that specializes in designing software tools for clinical research. Researchers at the company believe that artificial intelligence can play a very important role in personalized diagnosis and treatment. One published on the pre-printed thesis website Arvix. In an article on org (Using deep learning for comprehensive, personalized forecasting of Alzheimer's Disease progression), the researchers proposed a system that predicts disease, which essentially predicts each patient in the future. Various symptoms that may be encountered during the phase. “Two patients with the same disease sometimes present different symptoms, different developments, and different responses to treatment,†the team wrote. “Learn how to predict and manage these differences between patients. It is the primary goal of precision medicine . The disease development monitoring computer model developed using the machine learning method provides us with a tool to effectively solve the heterogeneity problem between patients." Artificial intelligence systems that detect cognitive decline are not without precedent. Neuroscientists at McGill University in Montreal have developed a PET scan uptake algorithm. The algorithm is able to identify patients who will eventually develop dementia with an accuracy of 84%. In addition, Duke University scientists and the Rudjer Boskovic Institute in Croatia also used machine learning to understand changes in brain tissue loss over time. But Unlearn. The AI ​​system uses an unsupervised learning method, which means that it uses data that has not been classified and marked. In addition, it can simultaneously calculate the prediction of a patient's various conditions and the confidence interval. The development of the entire system is mainly divided into two parts. First, the development team modeled the clinical data using the Boltzmann Coded Confrontation Machine (BEAM). BEAM is a neural network that is perfectly adapted to model data classification and features. They set up an online database for Alzheimer's disease in the Coalition Against Major Diseases (the database collected from 18 months covering 1908 Alzhai with 42 variables) It was trained and tested in the data composition of the patients with morbidity. The development team's measurement methods for patients included the Alzheimer's Scale-Cognition (ADAS-Cog, a widely used cognitive subscale) and the Mini-Mental State Examination (for clinical and clinical measurements). Questionnaire for cognitive impairment in the research environment). The development team then uses this modeled model to generate “virtual patients†and their associated cognitive test scores, laboratory test data, and clinical data. They simulated individual patients to predict disease progression in terms such as word recall, orientation, and naming, which in turn could be used to measure the Alzheimer's Scale-Cognitive Score. The researchers claim that the unregulated model can accurately predict Alzheimer's disease for at least 18 months, and they believe the model can also be used to predict the end result of patients with other degenerative diseases. The research team wrote: "The method we have described here to simulate the progression of symptoms of Alzheimer's disease can be extended to other diseases. The widespread application of deep-generation models for clinical data can produce real medicine. A synthetic data set that compares data to fewer privacy issues, or can be used to simulate clinical trials to optimize research design. In some specific disease areas, tools that use simulated data to predict disease risk in a particular individual can help doctors Choose a more correct treatment for their patients." Safe Box With Watch Winder,Storage Safe Box,Jewelry Box,Portable Jewelry Box Hebei Yingbo Safe Boxes Co.,Ltd , https://www.ybsafebox.com